Two models of critique of metaphysics: Kant and Hegel

in Metaphysics as a Science in Classical German Philosophy (2022)

A Conjecture of Coleman on the Eisenstein Family

E-print/Working paper (2022)

We prove for primes $p\ge 5$ a conjecture of Coleman on the analytic continuation of the family of modular functions $\frac{\Es_\k}{V(\Es_\k)}$ derived from the family of Eisenstein series $\Es_\k$. The ... [more ▼]

We prove for primes $p\ge 5$ a conjecture of Coleman on the analytic continuation of the family of modular functions $\frac{\Es_\k}{V(\Es_\k)}$ derived from the family of Eisenstein series $\Es_\k$. The precise, quantitative formulation of the conjecture involved a certain on $p$ depending constant. We show by an example that the conjecture with the constant that Coleman conjectured cannot hold in general for all primes. On the other hand, the constant that we give is also shown not to be optimal in all cases. The conjecture is motivated by its connection to certain central statements in works by Buzzard and Kilford, and by Roe, concerning the ``halo'' conjecture for the primes $2$ and $3$, respectively. We show how our results generalize those statements and comment on possible future developments. [less ▲]

Luxemburger als Söldner in der globalen militärischen Arbeitswelt - eine Notiz zum 19. Jahrhundert

in Kolnberger, Thomas; Niederkorn, Benoit (Eds.) Militärgeschichte Luxemburgs. Grundzüge einer transnationalen Entwicklung von Militär, Krieg und Gesellschaft (2022)

Thermophysical Change Detection on the Moon with the Lunar Reconnaissance Orbiter Diviner sensor

Scientific Conference (2022)

‘Finding My Own Way’: Mobilization of Cultural Capital through Migrant Organizations in Germany

in Social Sciences (2022), 11(12),

Smart Scheduling (SMASCH): multi-appointment scheduling system for longitudinal clinical research studies.

in JAMIA open (2022), 5(2), 038

OBJECTIVE: Facilitate the multi-appointment scheduling problems (MASPs) characteristic of longitudinal clinical research studies. Additional goals include: reducing management time, optimizing clinical ... [more ▼]

OBJECTIVE: Facilitate the multi-appointment scheduling problems (MASPs) characteristic of longitudinal clinical research studies. Additional goals include: reducing management time, optimizing clinical resources, and securing personally identifiable information. MATERIALS AND METHODS: Following a model view controller architecture, we developed a web-based tool written in Python 3. RESULTS: Smart Scheduling (SMASCH) system facilitates clinical research and integrated care programs in Luxembourg, providing features to better manage MASPs and speed up management tasks. It is available both as a Linux package and Docker image (https://smasch.pages.uni.lu). DISCUSSION: The long-term requirements of longitudinal clinical research studies justify the employment of flexible and well-maintained frameworks and libraries through an iterative software life-cycle suited to respond to rapidly changing scenarios. CONCLUSIONS: SMASCH is a free and open-source scheduling system for clinical studies able to satisfy recent data regulations providing features for better data accountability. Better scheduling systems can help optimize several metrics that ultimately affect the success of clinical studies. [less ▲]

Energy Efficiency Optimization of Low Grade Waste Heat Recovery via a Carbon Dioxide Rankine Cycle

Doctoral thesis (2022)

Global energy consumption is continually increasing, and intelligent energy supply is a critical concern for our generation. Rising concerns about climate change, as well as rising greenhouse gas ... [more ▼]

Global energy consumption is continually increasing, and intelligent energy supply is a critical concern for our generation. Rising concerns about climate change, as well as rising greenhouse gas emissions from the usage of fossil fuels, highlight the need of clean energy generation. Waste heat recovery might be one solution to this problem. Waste heat is generated as a byproduct of various processes and is discharged into the environment and the majority being generated at temperatures below 250°C. This lost energy has the potential to be absorbed and turned into useable energy, notably electricity. A Rankine cycle is capable of converting heat energy into electricity. Organic Rankine cycles employ working fluids with low evaporation temperatures (41-78°C), but are harmful to the environment due to their high global warming potential and greenhouse gas factor. CO2, on the other hand, has become a popular refrigerant in recent years due to its environmental friendliness and strong heat transfer capabilities. For medium to high temperatures about 250°C, converting waste heat to power works effectively. However, the efficiency is quite poor at temperatures below 100°C. This work seeks to improve the energy efficiency of waste heat recovery at low temperatures. Different techniques from the literature on how to increase the thermal cycle efficiency were studied in order to evaluate the optimization potential. Cycle adjustments such as reheated expansion, intercooled compression, and recovery were reported. However, the majority of the existing work is limited to medium to high temperatures. They were examined under equal operational settings to see if these cycle adjustments can also be used at low temperatures. A thermodynamic simulation using Matlab and EBSILON Professional was created for this purpose. For waste heat temperatures ranging from 60 to 100°C and a heat sink temperature of 20°C, the evaluated power cycles produced cycle efficiencies ranging from 2.35 to 8.16 percent. The aforementioned cycle adjustments only had a minor impact on efficiency at low temperatures. As a result, the basic cycle arrangement with no layout changes was determined to be the optimum for the examined temperature range. Another significant discovery was that fluid compression is the primary cause of poor efficiency. Because the compression of the fluid consumes a considerable portion of the energy provided by the turbine, the net power output is poor. Consequently, lowering the compression energy increases the net power production and thus the cycle efficiency. A thorough examination of how to compress a fluid with less (electric) energy input was carried out. Based on this, a thermal compression device (TCD) was designed, which uses heat rather than electricity to increase the pressure of a fluid. FLOWNEX and Matlab were used to simulate the TCD. A fluid flow due to gravity and pressure differential was developed in this model. The isochoric heat addition (IHA), a batch process, was modelled along with two buffer vessels upstream and downstream. For the thermodynamic cycle, the buffer vessels should allow for a steady mass flow. The results demonstrated that the pressure difference between the vessels has a significant influence on system performance and must not be neglected. Furthermore, the simulation revealed that the mass flow is declining during operation, indicating that the containers have not been completely emptied. As a result, the TCD’s throughput is reduced. This issue may be solved by adding a piston in the vessel, which allows for exact adjustment of the vessel volume and fluid flow control. The enhanced TCD, which incorporates the changes was also simulated in FLOWNEX. The main advantage of the TCD is that it uses less electrical energy to pressurize a fluid by using waste heat, which is abundant. Another key advantage is that the constraint of a conventional pump or compressor to a distinct fluid phase - liquid or gaseous - is removed. The TCD can manage both of these fluid phases, as well as a phase shift during the pressurization process. The economic analysis contrasts the traditional ORC with the ORC using the TCD, revealing that the cost of electricity production is cut in half and the investment payback time is cut by 11 years. [less ▲]

Studies on Enforcement in Multilevel Regulatory Systems

Book published by NOMOS (2022)

What if data protection embraced foresight and speculative design?

in DRS2022: Bilbao (2022)

Due to rapid technological advancements and the growing “datafication” of our societies, individuals’ privacy constitutes an increasingly explored speculative space for regulators, researchers ... [more ▼]

Due to rapid technological advancements and the growing “datafication” of our societies, individuals’ privacy constitutes an increasingly explored speculative space for regulators, researchers, practitioners, designers and artists. This article reports two experiences at a national and an international data protection authority (i.e., the Commission Nationale de l'Informatique et des Libertés - CNIL - and the European Data Protection Supervisor - EDPS - respectively), where foresight methods and speculative design are employed in policy-making with the goal of anticipating technological trends, their implications for society and their impact on regulations, as well as the effects of existing and upcoming laws on emerging technologies. Such initiatives can enhance strategic proactive abilities, raise public awareness of privacy issues and engender a participatory approach to the design of policies. They can also inspire the research, education and practice of legal design. [less ▲]

Le Duché de Luxembourg sur la "route espagnole" (16e et 17e siècles). Pour une histoire sociale des armées.

in Kolnberger, Thomas; Niederkorn, Benoît (Eds.) Militärgeschichte Luxemburgs. Grundzüge einer transnationalen Entwicklung von Militär, Krieg und Gesellschaft. Histoire militaire du Luxembourg. Principales caractéristiques d'un développement transnational de l'armée, de la guerre et de la société. (2022)